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Genetically modified cotton varieties have the potential for increasing returns and/or decreasing labor requirements. A nonlinear optimization model is applied to a whole farm analysis for evaluating cotton production technologies. This model maximizes farm utility, composed of expected returns...
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Nonagricultural factors impact land values to cause a divergence of discounted cash rents for agricultural land and land values. Focus is given to the portion of land values attributable to discounted cash rents. Unique characteristics for cropland and pasture lead to differences in...
Persistent link: https://www.econbiz.de/10005525348
Nonagricultural factors impact land values to cause a divergence of discounted cash rents for agricultural land and land values in Georgia. General economic factors are represented by per capita income in nonmetro areas. Cash rents for cropland and pasture have positive impacts on land values....
Persistent link: https://www.econbiz.de/10008519380
Georgia agricultural production continues on an increasing trend and reached a historical high in 2006. Increases in output have been accompanied by relatively lower levels of input increases. The Tornqvist productivity index indicates an average annual productivity increase of 3.0% during...
Persistent link: https://www.econbiz.de/10005327976
As trade protectionism has been reduced through multilateral agreements, concerns have been raised about competitiveness effects of cross-country differences in environmental and labor standards. Costs associated with decreased competitiveness are distributed across consumers and the various...
Persistent link: https://www.econbiz.de/10009392290
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Using principal component analysis, a climate index is developed to estimate the linkage between climate and crop yields. The indices based on three climate projections are then applied to forecast future crop yield responses. We identify spatial heterogeneity of crop yield responses to future...
Persistent link: https://www.econbiz.de/10010914266
Probit analysis identified factors influencing adoption of precision farming technologies by Southeastern cotton farmers. Younger, more educated farmers who operated larger farms and were optimistic about the future of precision farming were most likely to adopt site-specific information...
Persistent link: https://www.econbiz.de/10005805272
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